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Computer vision

Known as: Image classification, History of computer vision, Image Recognition Techniques 
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or… Expand
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Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A survey on Image Data Augmentation for Deep Learning
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
Generative Adversarial Networks: A Survey and Taxonomy
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably the revolutionary techniques… Expand
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Review
2019
Review
2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
As an important problem in computer vision, salient object detection (SOD) from images has been attracting an increasing amount… Expand
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Review
2019
Review
2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
Object Detection in 20 Years: A Survey
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in… Expand
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Review
2019
Review
2019
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
High quality face editing in videos is a growing concern and spreads distrust in video content. However, upon closer examination… Expand
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Review
2019
Review
2019
Transfer Learning in Natural Language Processing
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a… Expand
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Review
2019
Review
2019
A review on deep learning techniques for 3D sensed data classification
Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for… Expand
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Review
2019
Review
2019
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great abundance of information; such a… Expand
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Review
2019
Review
2019
Recent Advances of Generative Adversarial Networks in Computer Vision
The appearance of generative adversarial networks (GAN) provides a new approach and framework for computer vision. Compared with… Expand
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